pypi-query-mcp/MCP_PROMPT_TEMPLATES_SUMMARY.md

PyPI Query MCP Server - Prompt Templates Feature Summary

🎯 Overview

Successfully implemented comprehensive MCP prompt templates for the PyPI Query MCP Server, adding structured guidance capabilities for common PyPI package analysis and decision-making scenarios.

✅ Completed Features

1. Package Analysis Templates

• analyze_package_quality - Comprehensive package quality analysis
• compare_packages - Detailed comparison of multiple packages
• suggest_alternatives - Finding suitable package alternatives

2. Dependency Management Templates

• resolve_dependency_conflicts - Structured dependency conflict resolution
• plan_version_upgrade - Package version upgrade planning
• audit_security_risks - Security risk assessment and compliance

3. Migration Planning Templates

• plan_package_migration - Comprehensive migration strategy planning
• generate_migration_checklist - Detailed migration checklists

📁 File Structure

pypi_query_mcp/
├── prompts/
│   ├── __init__.py                    # Module exports
│   ├── package_analysis.py           # Package analysis templates
│   ├── dependency_management.py      # Dependency management templates
│   └── migration_guidance.py         # Migration planning templates
├── server.py                         # Updated with prompt registrations
examples/
├── prompt_templates_demo.py          # Demonstration script
tests/
├── test_prompt_templates.py          # Test coverage
docs/
├── PROMPT_TEMPLATES.md               # Comprehensive documentation
└── README.md                         # Updated with new features

🔧 Technical Implementation

Prompt Template Architecture

• Message-based structure: Each template returns structured Message objects
• Parameter validation: Using Pydantic Field annotations for robust input validation
• Async support: All templates are async-compatible for FastMCP integration
• Type safety: Full type annotations for better IDE support and validation

FastMCP Integration

• Server registration: All templates registered as MCP prompts in server.py
• Standardized naming: Consistent naming convention for prompt functions
• Return format: Templates return structured text prompts for LLM consumption

Key Features

• Comprehensive guidance: Each template provides detailed, actionable prompts
• Structured output: Markdown-formatted prompts with clear sections and emojis
• Contextual parameters: Rich parameter sets for customizing prompt content
• Real-world scenarios: Templates address common PyPI package management challenges

📖 Documentation

1. PROMPT_TEMPLATES.md

• Complete documentation for all 8 prompt templates
• Parameter descriptions and usage examples
• Integration examples for different MCP clients
• Best practices and customization guidance

2. Updated README.md

• Added prompt templates to feature list
• Updated tool count and descriptions
• Added usage examples for prompt templates
• Cross-referenced detailed documentation

3. Demo and Examples

• prompt_templates_demo.py: Interactive demonstration script
• Usage examples: Real-world scenarios in documentation
• Client integration: Examples for Claude Desktop, Cursor, Cline

🧪 Testing and Quality

Test Coverage

• Unit tests: Comprehensive test suite for all prompt templates
• Integration tests: Validation of prompt structure and content
• Mock testing: Isolated testing without external dependencies

Code Quality

• Linting: Passed ruff and isort checks
• Type checking: Full type annotations and validation
• Documentation: Comprehensive docstrings and comments

🚀 Usage Examples

In Claude Desktop

Use the "analyze_package_quality" prompt template to analyze the requests package

In Cursor

@pypi-query analyze_package_quality requests 2.31.0

Programmatic Usage

from fastmcp import Client

client = Client("pypi_query_mcp.server:mcp")
result = await client.get_prompt("analyze_package_quality", {
    "package_name": "requests", 
    "version": "2.31.0"
})

🎨 Template Categories

Analysis & Evaluation

• Quality assessment frameworks
• Comparative analysis structures
• Alternative evaluation criteria

Problem Solving

• Dependency conflict resolution strategies
• Security audit methodologies
• Upgrade planning frameworks

Project Management

• Migration planning templates
• Checklist generation
• Timeline and resource planning

🔮 Benefits

For Developers

• Structured guidance: Clear frameworks for package decisions
• Time saving: Pre-built templates for common scenarios
• Best practices: Incorporates industry standards and methodologies
• Consistency: Standardized approach to package analysis

For Teams

• Knowledge sharing: Consistent evaluation criteria across team members
• Documentation: Built-in documentation templates for decisions
• Risk management: Structured risk assessment frameworks
• Planning: Comprehensive migration and upgrade planning

For Projects

• Quality assurance: Systematic package evaluation processes
• Security: Built-in security assessment templates
• Maintenance: Structured upgrade and migration planning
• Compliance: Templates for regulatory and compliance requirements

🎯 Integration Ready

The prompt templates are now fully integrated into the PyPI Query MCP Server and ready for use in any MCP-compatible client:

• ✅ Claude Desktop - Full prompt template support
• ✅ Cursor - Command palette integration
• ✅ Cline - Interactive prompt access
• ✅ Windsurf - Built-in template support
• ✅ Custom clients - Programmatic API access

📊 Impact

This feature significantly enhances the PyPI Query MCP Server by:

1. Expanding capabilities from simple queries to comprehensive guidance
2. Improving user experience with structured, actionable prompts
3. Supporting decision-making with proven frameworks and methodologies
4. Enabling best practices through built-in templates and guidance
5. Facilitating team collaboration with standardized evaluation criteria

The prompt templates transform the server from a data provider into a comprehensive PyPI package management advisor, making it an essential tool for Python developers and teams.